Прия Шарма — B2B-маркетолог по росту, который специализируется на построении отраслевых систем генерации лидов, которые действительно работают. Имея более чем десятилетний опыт в сферах недвижимости, возобновляемой энергетики, фитнеса и профессиональных услуг, она привносит в каждый проект редкое сочетание межотраслевого видения и глубокой вертикальной экспертизы.
Прия получила степень MS по маркетинговой аналитике в Columbia Business School, где её диссертация о моделях прогнозного скоринга лидов была опубликована в Journal of Marketing Research. Этот академический фундамент в области data science и маркетинга даёт ей уникально аналитический подход к стратегии генерации лидов.
Её карьерный путь включает 4 года на должности вице-президента по маркетингу в proptech-стартапе, где она с нуля построила маркетинговую функцию и масштабировала компанию от раунда Series A до поглощения. За этот период она разработала AI-систему квалификации лидов для агентов по недвижимости, которая снизила стоимость квалифицированного лида на 73% по сравнению с традиционными методами вроде Zillow и Realtor.com.
После поглощения Прия запустила собственную консалтинговую практику, сосредоточившись на том, что она называет «вертикальным AI-маркетингом», — построении AI-систем генерации лидов, адаптированных под конкретные отрасли. Она внедрила воронки квалификации на основе квизов для установщиков солнечных панелей, фитнес-студий, дизайнерских агентств и компаний бытовых услуг, стабильно обеспечивая 3–5-кратное улучшение показателей качества лидов.
Прия много пишет о пересечении AI, отраслевого маркетинга и квалификации лидов. Её кейсы по генерации лидов в солнечной энергетике и AI-квалификации в недвижимости цитировались в отраслевых изданиях, включая Solar Power World, Inman News и ClubIndustry. Она регулярно выступает в качестве участника дискуссий на B2B Marketing Exchange и LeadsCon.
Учётные данные
MS по маркетинговой аналитике, Columbia Business School. Бывший вице-президент по маркетингу proptech-стартапа (от раунда Series A до поглощения). Публикации в Journal of Marketing Research.
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